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Author:
Neuralmagic, Inc.
License:
Apache
Summary:
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Latest version:
1.8.0.20240630
Required dependencies:
click
|
gputil
|
matplotlib
|
merge-args
|
numpy
|
onnx
|
packaging
|
pandas
|
protobuf
|
psutil
|
pydantic
|
pyyaml
|
requests
|
scikit-learn
|
scipy
|
sparsezoo-nightly
|
toposort
|
tqdm
Optional dependencies:
accelerate
|
beautifulsoup4
|
black
|
compressed-tensors-nightly
|
datasets
|
deepsparse-ent
|
deepsparse-nightly
|
docutils
|
dvc
|
einops
|
evaluate
|
flake8
|
gputils
|
ipywidgets
|
isort
|
jupyter
|
keras2onnx
|
m2r2
|
mistune
|
myst-parser
|
nm-yolov5-nightly
|
onnxruntime
|
open-clip-torch
|
opencv-python
|
openpifpaf
|
parameterized
|
pytest
|
pytest-mock
|
pytest-rerunfailures
|
rinohtype
|
safetensors
|
scikit-learn
|
sentencepiece
|
seqeval
|
sphinx
|
sphinx-copybutton
|
sphinx-markdown-tables
|
sphinx-multiversion
|
sphinx-pydantic
|
sphinx-rtd-theme
|
tensorboard
|
tensorboardx
|
tensorflow
|
tensorflow-gpu
|
tf2onnx
|
torch
|
torchaudio
|
torchvision
|
transformers
|
ultralytics
|
wheel
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